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This study aimed to investigate the influence of content exposure and celebrity endorsement on the consumptive behavior of Muslim adolescents among students at MAN 1 Bone. The population for this research was students of MAN 1 Bone for the 2023/2024 academic year. The sampling technique employed was simple random sampling with a total of 100 respondents. Data was collected through the distribution of questionnaires and documentation. This research utilized an explanatory survey research method with a quantitative approach. The data analysis techniques used were statistical tests, including multiple linear regression, t-test, f-test, and the coefficient of determination (R2) test. The results revealed that: (1) There was no significant influence of content exposure on the consumptive behavior of MAN 1 Bone students. (2) Celebrity endorsement significantly influenced the consumptive behavior of MAN 1 Bone students. (3) Content exposure and celebrity endorsement had a significant influence on the consumptive behavior of MAN 1 Bone students. The combined effect of the content exposure and celebrity endorsement variables on the consumptive behavior variable of MAN 1 Bone students was 25.2%, while the remaining 72.8% was explained by other factors outside the two independent variables studied.

This study aims to determine the influence of Social Media Marketing, Influencer Marketing, and Location on Generation Z Customer Loyalty at Kedai Wanus Kediri. This research is quantitative. Data were obtained through two methods: primary and secondary data. The population in this study were Generation Z consumers at Kedai Wanus Kediri. The sample in this study was 100 consumers, with accidental sampling as the sampling technique. The analysis techniques used in this study included validity testing, reliability testing, classical assumption testing, multiple linear regression analysis, and hypothesis testing. The results of the partial t-test indicate that the variables Social Media Marketing, Influencer Marketing, and Location have a positive and significant effect on Generation Z Customer Loyalty at Kedai Wanus Kediri. The results of the simultaneous F-test indicate that Social Media Marketing, Influencer Marketing, and Location have a positive and significant effect on Generation Z Customer Loyalty at Kedai Wanus Kediri.

This study examines the influence of earnings quality and dividend policy on firm value at PT Alkindo Naratama Tbk during the period 2014–2024. Firm value is measured using the Price to Book Value (PBV), earnings quality is proxied by the ratio of operating cash flow to net income (QOE), and dividend policy is measured using the Dividend Payout Ratio (DPR). This research adopts a quantitative approach with an associative causal design using secondary data obtained from the company’s quarterly financial reports over eleven years, resulting in 44 observations. The analysis method applied is multiple linear regression. The findings reveal that earnings quality has a positive and significant impact on firm value. Dividend policy also shows a positive and significant effect on firm value. Simultaneously, earnings quality and dividend policy significantly influence firm value. The coefficient of determination indicates that a large proportion of firm value variation can be explained by these two variables. These results support signaling theory, which suggests that high earnings quality and stable dividend distribution provide positive signals to investors and increase market confidence in the company. The study contributes to financial management literature by highlighting the importance of financial performance indicators in determining firm value.

Patient safety culture is an essential component in improving the quality of healthcare services and preventing medical errors in hospitals. However, the implementation of patient safety culture is often influenced by several organizational and individual factors, including situational awareness, availability of hospital infrastructure, and the balance between effort and rewards experienced by healthcare workers. This study aims to analyze the influence of situational awareness and hospital infrastructure on patient safety culture, with effort–reward imbalance acting as a mediating variable. The research was conducted at RSIA Tiara and involved healthcare workers as respondents. A quantitative approach with a cross-sectional design was applied in this study. Data were collected through structured questionnaires distributed to healthcare professionals and analyzed using Partial Least Squares–Structural Equation Modeling (PLS-SEM). The results show that situational awareness has a significant positive effect on effort–reward imbalance and patient safety culture. Hospital infrastructure also significantly influences effort–reward imbalance and patient safety culture. Furthermore, effort–reward imbalance significantly affects patient safety culture and mediates the relationship between situational awareness, hospital infrastructure, and patient safety culture. These findings indicate that improving healthcare workers’ situational awareness and ensuring adequate hospital infrastructure can help reduce work imbalance and strengthen patient safety culture. In conclusion, hospital management should prioritize training programs to enhance situational awareness, improve supporting facilities, and implement fair reward systems to promote a sustainable and positive patient safety culture in healthcare organizations.

This study aims to determine the effect of financial performance, capital structure, and company size on company value in healthcare companies listed on the Indonesia Stock Exchange (IDX) for the 2020-2024 period. This study uses an associative quantitative approach with secondary data obtained from the company's financial statements. The sample was determined using purposive sampling, resulting in 9 healthcare companies with 45 observations. Data analysis was performed using EViews 12. Panel data regression analysis was applied using the Random Effect Model (REM), selected based on the Chow test, the Hausman test, and the Lagrange multiplier test. Furthermore, classical assumption testing and hypothesis testing were carried out. The test results show that partially Financial Performance has a significant positive effect on Company Value with a calculated T value of 2.137061 > T table 2.01954 with a prob value of 0.0386 < 0.05, Capital Structure does not have a significant effect on Company Value with a calculated T value of 0.4770233 < T table 2.01954 with a prob value of 0.6407 > 0.05, Company Size has a significant positive effect on Company Value with a calculated T value of 2.134309 > T table 2.01954 with a prob value of 0.0388 < 0.05. Simultaneously, the three independent variables have a significant positive effect on Company Value with an Fcount value of 3.059588 > Ftable 2.83 with a prob value of 0.038758 < 0.05, with a contribution of 12.31% while the remaining 87.69% is influenced by other factors outside this study.

The transition toward sustainable energy systems requires the transformation of renewable energy marketing strategies, particularly for waste-based energy. This study aims to analyze the effects of green marketing, stakeholder collaboration, and technological innovation on the marketing effectiveness of waste-based energy, with customer satisfaction as an intervening variable. A quantitative approach with a survey design was used. Data were collected from 300 respondents, comprising consumers and stakeholders at PT PLN (Persero) ’s waste-based energy processing units. Structural Equation Modeling (SEM) was used to analyze the data. The results indicate that green marketing, stakeholder collaboration, and technological innovation significantly influence customer satisfaction and the effectiveness of marketing. Furthermore, customer satisfaction significantly mediates the relationship between independent variables and marketing effectiveness. These findings emphasize the importance of integrating sustainable marketing strategies, multi-stakeholder synergy, and innovative technologies to enhance the competitiveness of waste-based energy products in the market. This study contributes to the theoretical development of renewable energy marketing models and provides practical implications for policymaking and green energy marketing strategies in Indonesia.

This study aims to examine the factors influencing the level of sustainability report disclosure based on OJK regulations in KBMI 3 banking companies listed on the Indonesia Stock Exchange in 2023. The level of sustainability disclosure is measured using the Sustainability Report Index (SR Index), constructed through content analysis of indicators stipulated in POJK No. 51/POJK.03/2017. The independent variables analyzed in this study include firm size, profitability proxied by Return on Assets (ROA) and Return on Equity (ROE), foreign ownership, and firm age. This research employs a quantitative explanatory approach using secondary data obtained from annual reports and sustainability reports. Data were analyzed using multiple linear regression with SPSS. The results indicate that firm size, foreign ownership, and firm age have a positive and significant effect on the level of sustainability report disclosure. Conversely, profitability measured by ROA and ROE does not have a significant effect. Simultaneously, all independent variables significantly influence sustainability report disclosure. These findings suggest that structural and ownership characteristics play a more dominant role in determining sustainability disclosure than financial performance, reflecting the regulator-driven nature of sustainability reporting in the Indonesian banking sector.

The implementation of Patient Safety Goals remains a major challenge in hospital management, particularly in ensuring consistent compliance among nurses. This study aims to analyze the influence of nurses’ knowledge and motivation on the implementation of Patient Safety Goals, with clinical leadership positioned as a mediating variable. A quantitative cross-sectional design was employed in a general hospital in Jakarta, Indonesia. Data were collected from 119 nurses across inpatient, outpatient, emergency, and operating units using structured questionnaires. The data were analyzed using Structural Equation Modeling (SEM) with AMOS, supported by the Three-Box Method to assess the level of variable achievement. The results indicate that nurses’ knowledge and motivation have a significant direct effect on clinical leadership. Clinical leadership also demonstrates a significant positive effect on the implementation of Patient Safety Goals. Furthermore, clinical leadership plays a significant mediating role in the relationship between both nurses’ knowledge and motivation and the implementation of Patient Safety Goals. The model explains 76.67% of the variance in Patient Safety Goal implementation, highlighting the strategic role of clinical leadership in translating individual competencies into safe clinical practices. These findings contribute to healthcare management literature by reinforcing the importance of clinical leadership as an organizational mechanism that strengthens patient safety performance. From a managerial perspective, the study emphasizes that improving patient safety outcomes requires not only enhancing nurses’ knowledge and motivation, but also systematically developing clinical leadership competencies. Hospital management is encouraged to invest in leadership development programs, supportive supervision, and non-punitive incident reporting systems to ensure sustainable implementation of Patient Safety Goals.

This study aims to analyze the influence of the implementation of the Internal Quality Assurance System (SPMI) and principal leadership on the quality of educational services in South Konawe Regency, Southeast Sulawesi. The research employed a quantitative descriptive approach with a survey design to obtain an empirical overview of the relationships among the variables examined. The population consisted of all principals at the elementary, junior high, senior high, and vocational high school levels, totaling 70 respondents. The sampling technique used purposive sampling based on specific criteria relevant to the research objectives. Data were collected through questionnaires that had been tested for validity and reliability to ensure the accuracy and consistency of the research instrument. Data analysis was conducted using multiple linear regression with the assistance of SPSS version 25.0. Prior to hypothesis testing, classical assumption tests were performed, including normality, multicollinearity, and heteroscedasticity tests, to ensure the feasibility of the regression model. Furthermore, the F-test was conducted to examine the model’s overall significance, while the t-test was used to determine the partial effect of each independent variable on the dependent variable. The results indicate that the implementation of SPMI and principal leadership have a positive and significant effect on the quality of educational services. These findings highlight the importance of strengthening managerial capacity and internal commitment in implementing SPMI, as well as enhancing principal leadership quality to continuously improve educational service standards and overall education quality.

This study aims to analyze the determinants of tax aggressiveness in construction, property, and real estate companies listed on the Indonesia Stock Exchange (IDX) during 2021–2024. The sample consists of 80 companies with 220 observations, selected using purposive sampling based on criteria such as the availability of financial statements and the absence of losses during the research period. The variables include tax aggressiveness (ETR), profitability (ROA), leverage (DAR), board size, and firm size (SIZE). Data were analyzed using PLS-SEM with WarpPLS 8.0. The results show that profitability has a negative and significant effect on tax aggressiveness, while leverage has a positive and significant effect. Board size does not significantly affect tax aggressiveness but positively influences profitability and leverage. Firm size negatively affects profitability but positively impacts board size and leverage. These findings indicate that financial factors are more dominant in determining tax aggressiveness than board size, a corporate governance mechanism

The results of the 2022 PISA indicate that science skills and interest in Indonesia are still low. One way to increase interest in science is by introducing inventor figure of science and techonology. However, alternative learning media that are communicative and relevant to adolescents' media consumption habits are needed. Therefore, this study aims to design a character design for an inventor in the field of science and technology for a Webtoon comic as an educational tool for adolescents aged 15–18. This study used qualitative and quantitative methods. The qualitative method was used to understand the needs and interests of the target audience and to gather information from the literature for scientific sources in designing the inventor character. The quantitative method was used as one of the character design evaluation criteria, based on voting results by adolescents aged 15–18. The character design used Marika Nieminen's principles: demographics, silhouette and shape, color, and characteristics. Several alternatives were used to generate character designs, which were then evaluated to determine the final design. The character design evaluation will be assessed using several variables within an evaluation framework.

Hypertension contributes to numerous complications such as heart disease, stroke, kidney failure, and is a risk factor of disability and death. Hypertension Prevalence in Jatinangor is 37.8%, that is higher than national rate. The control of hypertension is low and the education at the primary health facility is short. Therefore, another buffer system for education such as posbindu is needed. Activities that educate people with hypertension become very important, but need to be adjusted as needs. Aim of this study is to determine form and intensity of education preferred by hypertension patients Method: Qualitative descriptive with case study approach using focused group discussion (FGD) method, led by main moderator and assisted by a second moderator. Participants consisted of 15 people with hypertension chosen purposively with the inclusion criterias female and parallel to the research objective. The discussion used semi-structured questions. This study is conducted in two villages in Jatinangor, Desa Cipacing and Desa Cilayung from February to May 2017. Results: Participants wanted education in the form of traditional learning, game simulation, written notes, and video recording. The intensity of education preferred until patients understand, it tends to be performed more than once, and preferred place are performed within Posyandu (Integrated Health and Nutrition Post) with education frequency varies from once a week to once a month. Conclusion: Hypertension patients have variable preference of education forms and its intensity. Innovations in the development of methods in accordance with hypertension patients’ needs must be continued, so that interventions can become more effective for hypertension patients.

Tax is a major source of government revenue; however, tax avoidance remains a significant issue, particularly in the property and real estate sector, which is characterized by high growth and complex financial structures. This study examines the effects of leverage, profitability, and sales growth on tax avoidance, with firm size as a moderating variable. The study employs a quantitative approach, using secondary data from the annual financial statements of property and real estate companies listed on the Indonesia Stock Exchange for the 2020–2024 period. The sample was selected using purposive sampling, and the data were analyzed using panel data regression techniques. Tax avoidance is proxied by the Cash Effective Tax Rate, leverage is measured by the Debt-to-Equity Ratio, profitability is measured by Return on Assets, sales growth is calculated as the annual change in sales, and firm size is measured using the natural logarithm of total assets. The results indicate that leverage and profitability significantly affect tax avoidance, whereas sales growth does not. Firm size is found to moderate the relationship between leverage and tax avoidance as well as between profitability and tax avoidance, but it does not moderate the relationship between sales growth and tax avoidance. The novelty of this study lies in the inclusion of sales growth as an independent variable and the positioning of firm size as a moderating variable within the property and real estate sector during the post-pandemic period. These findings provide practical implications for corporate tax management strategies and offer insights for regulators in strengthening tax supervision based on firm characteristics.

The objective of this study is to examine the effects of profitability, liquidity, leverage, and asset growth on dividend policy among food and beverage companies listed on the IDX during 2020-2023. The dependent variable in this study is dividend policy, specifically the proxy dividend payout ratio (DPR). The independent variables, including profitability as measured by return on equity (ROE), liquidity as measured by the current ratio (CR), leverage as measured by the debt-to-equity ratio (DER), and asset growth as measured by the asset growth proxy (Growth), will also be examined. The data collection process used secondary data and employed purposive sampling. The study’s initial population included 95 samples; however, after applying the criteria, 17 were found relevant. The methods used in this study include descriptive statistical analysis, classical assumption test, hypothesis testing, and multiple linear regression analysis. The study’s results suggest that profitability, liquidity, and leverage may have simultaneous effects on dividend policy. It appears that profitability and liquidity may positively affect dividend policy, while leverage may negatively affect it, and asset growth may have no effect. It is hoped that the results of this study will provide a useful reference point for management and other relevant parties as they plan dividend policy, maintain business continuity, and make investment decisions.

High-dimensional clinical data exhibit complex and non-linear relationships among patient attributes, where outcomes are often influenced by feature interactions rather than isolated variables. However, many existing machine learning models prioritize predictive performance while providing limited interpretability and insufficient insight into interaction structures. This study aims to address this limitation by developing an interpretable and robust framework for feature interaction mining in clinical data. We propose a hybrid tree–neural modeling framework that explicitly captures and ranks feature interactions while maintaining stable predictive performance. Tree-based ensemble models are employed to identify non-linear interaction patterns, while neural representations enhance learning flexibility and generalization. The framework integrates interaction importance analysis, cross-validation–based stability assessment, and evaluation across multiple data splits to ensure robustness and interpretability. Experiments conducted on a real-world high-dimensional clinical dataset demonstrate that the proposed approach achieves consistent predictive performance, with AUC values ranging from 0.628 to 0.641 across five cross-validation folds (mean AUC ≈ 0.633). Performance remains stable under varying train–test splits, indicating strong generalizability. Interaction analysis reveals that a small number of dominant feature interactions—such as age combined with length of hospital stay and medication count combined with diagnostic information—consistently contribute to model predictions, appearing in over 80% of validation folds. Ablation studies further confirm that removing interaction-aware components leads to noticeable performance degradation, highlighting their importance.  In conclusion, this study demonstrates that explicit feature interaction modeling enhances interpretability, stability, and generalization in clinical prediction tasks. The proposed hybrid framework provides a reliable foundation for developing trustworthy and transparent clinical decision-support systems

This study aims to analyze the effectiveness of public service policy implementation at the Regional Technical Implementation Unit of the Freshwater Fish Cultivation Center (UPTD BBIAT) in Pekalongan Regency, focusing on the influence of service quality on fish farmers' satisfaction mediated by trust. The research employs a mixed-methods approach with a concurrent embedded design, combining a survey of 40 fish farmers and in-depth interviews with 5 key informants from the UPTD and Agency levels, along with observation and document analysis. The theoretical framework is built on New Public Service Theory, Policy Implementation Theory, and the SERVQUAL, trust, and public satisfaction concepts. The research findings indicate that all three variables are in the high category with robust and significant positive correlations: service quality with trust, service quality with satisfaction, and trust with satisfaction. Trust has been shown to play a strong mediating role in the relationship between service quality and fish farmers' satisfaction. The assurance and empathy dimensions are the strengths of UPTD BBIAT, while tangibles and reliability require improvement through infrastructure modernization and enhanced consistency in seed availability. Theoretically, this research confirms the applicability of the SERVQUAL model and trust theory in the context of public services in the fisheries sector. In practice, it provides strategic recommendations to improve policy implementation effectiveness through infrastructure strengthening, human resource development, service digitalization, and enhanced institutional coordination.

This study aims to analyze the influence of digitalization on the lifestyles of students at Universitas Nasional Pasim. The research employs a quantitative approach through field survey methods, targeting a population of 123 students from the Faculty of Economics, Class of 2025. A minimum sample size of 56 respondents was determined using the Slovin formula. The sampling technique utilized was purposive sampling, while data analysis involved validity and reliability tests, classical assumption tests, and multiple regression analysis to determine the relationships between variables. Empirical results indicate that digitalization has a positive and significant influence on student lifestyles, with the F-calculated value exceeding the F-table at the specified level of significance. The R-Square value further explains the contribution of the digitalization variable to changes in the respondents' lifestyles. The findings reveal positive impacts such as increased academic efficiency, instant access to information, and the convenience of transactions through practical digital payment systems. Conversely, negative impacts identified include a rise in consumptive behavior driven by cashless and paylater features, where student budgets are increasingly used for non-academic purposes. Furthermore, high intensity of social media usage triggers the Fear of Missing Out (FOMO) phenomenon and a decline in real-world social interaction. In conclusion, digitalization is a pivotal factor in shaping modern student lifestyles. It is essential to enhance financial literacy and strengthen self-control to minimize the negative impacts of technology in the future.

The development of digital technology, particularly social media, has brought significant changes to human social interaction patterns. Although the ease of digital communication offers various advantages, in reality, it does not always reduce feelings of loneliness. This study aims to analyze the relationship between the intensity of social media use and loneliness levels among students in the digital era. The method used in this research is a quantitative approach with a correlational design, involving 120 active students as the sample. To measure the variable of social media use intensity, the Social Media Intensity Scale was used, while loneliness levels were measured using the UCLA Loneliness Scale. The data analysis results showed a significant positive relationship between the intensity of social media use and loneliness levels among students. This means that the higher the intensity of students' social media use, the higher the loneliness they feel. These findings provide important insight that, despite social media facilitating easier interactions, excessive use does not always positively affect the quality of social relationships. On the contrary, high social media use intensity can be associated with greater feelings of loneliness, indicating the need for a deeper understanding of the impact of social media use on individuals' emotional well-being.

Government and government transparency on community participation, with government accountability as an intervening variable. The study used a quantitative approach based on Partial Least Squares Structural Equation Modeling (PLS-SEM). Data were obtained through questionnaires distributed to the community of Maladum Mes District, Sorong City. The results show that government transparency and public perception of the government's role have a positive and significant effect on government accountability. In addition, government transparency, public perception, and government accountability have a positive and significant effect on community participation. The mediation test results show that government accountability partially mediates the effects of government transparency and public perception of the government's role on community participation. These findings confirm that increasing community participation depends not only on information disclosure and positive perceptions, but also on the extent to which the government is accountable to the public for its performance. This study offers theoretical implications for strengthening the concept of good governance and practical implications for local governments in designing participatory policies.

This research aims to analyze the quality of electronic services (E-Service Quality) on user satisfaction of the DANA digital wallet application in the West Jakarta area. The evolution of financial technology (fintech) in Indonesia has encouraged rapid growth in the use of digital wallets, including DANA which is recorded to have more than 200 million users by 2024. However, this rapid growth is still marred by a number of user complaints regarding system reliability, service response speed and transaction security. Therefore, this study is important to evaluate how much e-service quality dimensions influence user satisfaction levels. The research method used is a quantitative approach with an associative type of research. Data was collected through questionnaires from 100 respondents who were active users of the DANA application in the West Jakarta area using a purposive sampling technique. Data analysis was carried out using SPSS software through validity tests, reliability tests, and simple linear regression analysis. The research results show that E-Service Quality has a positive and significant effect on user satisfaction of the DANA application with a coefficient of determination (R Square) of 0.907, which means that 90.7% of the variation in user satisfaction can be explained by the E-Service Quality variable, while the remaining 9.3% is influenced by other factors outside the research model. The results of the significance test (t test) show a significance value (Sig. < 0.05) which indicates that the influence of E-Service Quality on user satisfaction has been proven to be statistically significant. The results of this study are expected to serve as evaluation material for DANA application managers in improving the quality of digital services, particularly in terms of efficiency, system reliability, security, and user responsiveness. Furthermore, this research is expected to provide theoretical contributions to the development of studies in the field of information systems and digital service management.